Among older people, walking difficulty results from actual and perceived declines in physical capacities and environmental requirements for walking. We investigated whether the physiological complexity of the gait cycle covaries with experience of walking difficulty. Walking difficulty, gait speed, and gait cycle complexity were evaluated among 702 community-dwelling older people aged 75, 80, and 85 years who took part in the six-minute walking test in the research laboratory. Walking difficulty for 500 m was self-reported. Complexity was quantified as trunk acceleration multiscale entropy during the gait cycle. Complexity was then compared between those with no reported walking difficulty, walking with modifications but no difficulty, and those reporting walking difficulty. Higher entropy differentiated those reporting no difficulty walking from those reporting walking difficulties, while those reporting having modified their walking, but no difficulty formed an intermediate group that could not be clearly distinguished from the other categories. The higher complexity of the gait cycle is associated with slower gait speed and the presence of self-reported walking difficulty. Among older people, gait cycle complexity which primarily reflects the biomechanical dimensions of gait quality, could be a clinically meaningful measure reflecting specific features of the progression of walking decline. This encourages further investigation of the sensitivity of gait cycle complexity to detect early signs of gait deterioration and to support targeted interventions among older people.
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http://dx.doi.org/10.1016/j.exger.2024.112381 | DOI Listing |
J Am Podiatr Med Assoc
January 2025
†Division of Geriatrics, Department of Internal Medicine, Marmara University Medical School, Pendik, Istanbul, Turkey.
This case report aims to demonstrate a rare occurrence of tendon rupture attributable to levofloxacin use in Helicobacter pylori eradication. On the seventh day of treatment, the patient experienced severe foot pain and difficulty in walking, leading to a diagnosis of Achilles tendon rupture confirmed through magnetic resonance imaging. Levofloxacin-induced tendinopathy and/or rupture are rare complications that are often linked to age and sex.
View Article and Find Full Text PDFNanoscale
January 2025
Department of Photonics and Institute of Electro-Optical Engineering, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan.
Electroluminescent (EL) devices consisting of a single metal-semiconductor contact and a gate effect structure have garnered significant attention in the field of perovskite light-emitting devices. This interest is largely due to the thermal stability of the active layer and the simplicity of the device structure. However, the application of these devices in large-area light-emitting applications is hindered by the inherently low carrier mobility in perovskite materials.
View Article and Find Full Text PDFFoot Ankle Int
January 2025
Foot and Ankle Surgery Department, Honghui Hospital of Xi'an Jiaotong University, Xi'an, China.
Background: Calcaneal fracture malunion (CFM) commonly occurs with multiple pathologic changes and progressive pain and difficulty walking. The purpose of this study was to propose a modified 3-plane joint-preserving osteotomy for the treatment of CFM with subtalar joint incongruence, and to compare its efficacy to subtalar arthrodesis.
Methods: A retrospective comparative analysis of the data of 56 patients with CFM admitted from January 2017 to December 2022 was performed.
Life (Basel)
December 2024
Department of Cardiology, Pomeranian Medical University in Szczecin, 70-204 Szczecin, Poland.
The aim of this study was to evaluate the effectiveness of Fascial Manipulation in patients with disc herniations of the lumbar spine confirmed by magnetic resonance imaging. This study included 69 patients with intervertebral disc damage of the lumbar spine, as confirmed by magnetic resonance imaging. Patients were divided into two groups: a study group and a control group.
View Article and Find Full Text PDFBiomedicines
January 2025
Department of Management Information Systems, Keimyung University, Daegu 42601, Republic of Korea.
: Diabetes is a dangerous disease that is accompanied by various complications, including cardiovascular disease. As the global diabetes population continues to increase, it is crucial to identify its causes. Therefore, we predicted diabetes using an AI model and quantitatively examined causal relationships using a causal discovery and inference model.
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